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Bilingual card and note for check-section-logic-consistency

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  1. README.md +156 -11
  2. agents/openai.yaml +1 -1
README.md CHANGED
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  ---
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  license: mit
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  language:
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- - zh
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  - en
 
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  tags:
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  - codex-skill
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  - ai-agent
@@ -16,41 +16,186 @@ pretty_name: CheckSectionLogicConsistency
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  # CheckSectionLogicConsistency
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- `check-section-logic-consistency` is a ParaSkill research workflow skill for the `checker` family.
 
 
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- ## Purpose
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  Check whether abstract, introduction, method, experiments, and conclusion use consistent terminology, claims, assumptions, and closure structure. Use when a paper feels internally inconsistent, has claim drift, or different sections appear to promise different contributions. Output is a consistency report and repair plan.
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- ## Metadata
 
 
 
 
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  - Family: `checker`
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  - Owner model: `ParadoxGPT-Checker-4B`
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  - Output type: `diagnosis`
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  - Version: `0.1`
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  - Default language: `zh`
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- ## Included Files
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```text
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  CheckSectionLogicConsistency/
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  SKILL.md
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- agents/openai.yaml
 
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  README.md
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  LICENSE
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  ```
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- `SKILL.md` is the executable skill instruction. `README.md` is the Hugging Face card.
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- ## Installation
 
 
 
 
 
 
 
 
 
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- Copy this folder into a Codex-discoverable skills directory, or reference `SKILL.md` directly from an agent workflow.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```bash
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  mkdir -p ~/.codex/skills
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  cp -r CheckSectionLogicConsistency ~/.codex/skills/check-section-logic-consistency
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  ```
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- ## Source
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- This skill is part of the ParaSkill library for ParadoxGPT. The full routing table is maintained in `SKILL_INDEX.json` in the source bundle.
 
 
 
 
 
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  ---
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  license: mit
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  language:
 
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  - en
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+ - zh
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  tags:
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  - codex-skill
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  - ai-agent
 
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  # CheckSectionLogicConsistency
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+ English | [中文](#中文)
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+
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+ ## Overview
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+ `check-section-logic-consistency` is a ParaSkill for **scientific-content auditing and anti-gaming checks**.
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  Check whether abstract, introduction, method, experiments, and conclusion use consistent terminology, claims, assumptions, and closure structure. Use when a paper feels internally inconsistent, has claim drift, or different sections appear to promise different contributions. Output is a consistency report and repair plan.
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+ It is part of the ParadoxGPT / ParaSkill research workflow library. The skill is designed to be used as an agent instruction: it defines when to use the capability, what inputs are required, what output contract to follow, what failure modes to avoid, and which skill should receive the handoff next.
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+
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+ ## When To Use
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+
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+ Use this skill when the task matches the skill description and the required inputs are available. It is especially useful inside paper-writing, reviewing, idea-development, experiment-design, or checker workflows where the agent must produce a bounded and auditable research action rather than a generic answer.
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+ ## What Is Included
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+
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+ ```text
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+ CheckSectionLogicConsistency/
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+ SKILL.md
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+ agents/
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+ openai.yaml
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+ README.md
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+ LICENSE
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+ ```
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+
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+ `SKILL.md` is the actual skill instruction. `README.md` is this Hugging Face card.
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+
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+ ## Skill Metadata
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+
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+ - Skill name: `check-section-logic-consistency`
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  - Family: `checker`
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  - Owner model: `ParadoxGPT-Checker-4B`
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  - Output type: `diagnosis`
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  - Version: `0.1`
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  - Default language: `zh`
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+ ## Required Inputs
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+
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+ - `paper_sections`
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+
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+ ## Optional Inputs
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+
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+ - `claim_list`
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+ - `terminology_list`
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+ - `reviewer_concerns`
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+
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+ ## Handoff
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+
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+ This skill can hand off to:
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+
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+ - `check-claim-evidence-alignment`
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+ - `build-intro-argument-chain`
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+ - `rewrite-abstract-with-commitments`
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+
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+ ## Installation
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+
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+ Copy the skill folder into a Codex-discoverable skills directory, or keep it inside a project repo and reference it explicitly.
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+
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+ Typical local install:
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+
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+ ```bash
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+ mkdir -p ~/.codex/skills
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+ cp -r CheckSectionLogicConsistency ~/.codex/skills/check-section-logic-consistency
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+ ```
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+
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+ Or use it from a project repo:
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+
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+ ```text
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+ Use the check-section-logic-consistency skill for this research workflow task.
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+ ```
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+
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+ ## Example Prompt
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+
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+ ```text
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+ Use $check-section-logic-consistency.
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+
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+ Inputs:
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+ - paper_context: <paper or section context>
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+ - task_goal: <what should be diagnosed, revised, judged, designed, or created>
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+
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+ Follow the output contract in SKILL.md. Do not invent evidence, numbers, or claims that are not present in the provided context.
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+ ```
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+
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+ ## Design Principles
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+
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+ - Keep the action bounded and auditable.
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+ - Preserve scientific content unless the skill explicitly asks for revision.
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+ - Distinguish real evidence from presentation changes.
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+ - Surface failure modes and uncertainty instead of hiding them.
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+ - Hand off to the next skill when the current task boundary is exceeded.
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+
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+ ---
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+
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+ # 中文
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+
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+ ## 概述
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+ `check-section-logic-consistency` 是 ParaSkill 中面向 **科学内容审计与反 gaming 检查** 的科研工作流 skill。
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+ 检查 abstract、introduction、method、experiment、conclusion 之间的术语、假设、claim 和闭合结构是否一致。
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+
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+ 它属于 ParadoxGPT / ParaSkill 科研工作流库。这个 skill 不是泛泛提示词,而是一段可复用的 agent instruction:它定义什么时候使用、需要哪些输入、输出必须满足什么 contract、要避免哪些 failure mode,以及下一步应该 handoff 给哪个 skill。
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+
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+ ## 什么时候使用
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+ 当任务与该 skill 的描述匹配,并且 required inputs 已经具备时使用。它适合放在论文写作、审稿模拟、idea 打磨、实验设计或 checker 工作流中,让 agent 执行边界清楚、可审计、可交接的科研动作,而不是输出一段泛泛建议。
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+
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+ ## 包含内容
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  ```text
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  CheckSectionLogicConsistency/
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  SKILL.md
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+ agents/
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+ openai.yaml
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  README.md
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  LICENSE
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  ```
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+ `SKILL.md` 是真正给 agent 使用的 skill instruction`README.md` Hugging Face 页面展示的 card
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+ ## Skill 元数据
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+
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+ - Skill 名称:`check-section-logic-consistency`
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+ - Family:`checker`
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+ - Owner model:`ParadoxGPT-Checker-4B`
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+ - Output type:`diagnosis`
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+ - Version:`0.1`
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+ - 默认语言:`zh`
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+
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+ ## 必需输入
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+ - `paper_sections`
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+
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+ ## 可选输入
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+
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+ - `claim_list`
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+ - `terminology_list`
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+ - `reviewer_concerns`
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+
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+ ## Handoff
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+
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+ 这个 skill 可以交接给:
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+
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+ - `check-claim-evidence-alignment`
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+ - `build-intro-argument-chain`
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+ - `rewrite-abstract-with-commitments`
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+
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+ ## 安装方式
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+
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+ 可以把这个 skill 文件夹复制到 Codex 能发现的 skills 目录,也可以放在项目仓库中,然后在提示词里明确引用。
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+ 典型本地安装:
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  ```bash
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  mkdir -p ~/.codex/skills
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  cp -r CheckSectionLogicConsistency ~/.codex/skills/check-section-logic-consistency
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  ```
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+ 也可以在项目内使用:
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+
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+ ```text
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+ 请使用 check-section-logic-consistency skill 处理这个科研工作流任务。
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+ ```
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+
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+ ## 示例提示词
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+
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+ ```text
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+ 请使用 $check-section-logic-consistency。
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+
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+ 输入:
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+ - paper_context: <论文或章节上下文>
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+ - task_goal: <需要诊断、修改、判断、设计或生成的目标>
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+
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+ 请严格遵守 SKILL.md 中的 output contract。不要编造上下文中不存在的证据、数字或 claim。
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+ ```
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+
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+ ## 设计原则
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+ - 让每次动作都有清楚边界,并且可审计。
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+ - 除非 skill 明确要求修改,否则保持科学内容不被改写。
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+ - 区分真实证据改进和 presentation 改写。
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+ - 暴露 failure mode 和不确定性,不把问题藏起来。
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+ - 超出当前 skill 边界时,交接给下一个合适的 skill。
agents/openai.yaml CHANGED
@@ -1,4 +1,4 @@
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  interface:
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  display_name: "Check Section Logic Consistency"
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  short_description: "Check whether abstract, introduction, method, experiments, and conclusion use consistent t"
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- default_prompt: "Use $check-section-logic-consistency for this research-writing task."
 
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  interface:
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  display_name: "Check Section Logic Consistency"
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  short_description: "Check whether abstract, introduction, method, experiments, and conclusion use consistent t"
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+ default_prompt: "Use $check-section-logic-consistency for this research workflow task."